Comparing Loan_status = 0 and Loan

Dataset statistics

	Loan_status = 0	Loan_status = 1
Number of variables	12	12
Number of observations	47442	7711
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	0
Duplicate rows (%)	0.0%	0.0%
Total size in memory	3.1 MiB	521.6 KiB
Average record size in memory	69.0 B	69.3 B

Variable types

	Loan_status = 0	Loan_status = 1
Numeric	7	7
Categorical	5	5

Alerts

Loan_status = 0	Loan_status = 1
`loan_status` has constant value "0"	`loan_status` has constant value "1"	Constant
`person_emp_length` has 5796 (12.2%) zeros	`person_emp_length` has 1413 (18.3%) zeros	Zeros
Alert not present in this dataset	`person_home_ownership` is highly imbalanced (63.1%)	Imbalance

Reproduction

	Loan_status = 0	Loan_status = 1
Analysis started	2024-10-11 07:15:41.537226	2024-10-11 07:16:23.043335
Analysis finished	2024-10-11 07:16:22.462946	2024-10-11 07:16:56.985962
Duration	40.93 seconds	33.94 seconds
Software version	ydata-profiling vv4.10.0	ydata-profiling vv4.10.0
Download configuration	config.json	config.json

person_age
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	25	25
Distinct (%)	0.1%	0.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	26.966506	26.867981

	Loan_status = 0	Loan_status = 1
Minimum	20	20
Maximum	44	44
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	20	20
5-th percentile	22	22
Q1	23	23
median	26	25
Q3	29	29
95-th percentile	37	37
Maximum	44	44
Range	24	24
Interquartile range (IQR)	6	6

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	4.9047111	5.0136468
Coefficient of variation (CV)	0.18188159	0.18660304
Kurtosis	1.0082062	1.0433213
Mean	26.966506	26.867981
Median Absolute Deviation (MAD)	3	3
Skewness	1.2051184	1.2393327
Sum	1279345	207179
Variance	24.056191	25.136654
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
23	6544	13.8%
22	5865	12.4%
24	5372	11.3%
25	4153	8.8%
27	3774	8.0%
26	3175	6.7%
28	3059	6.4%
29	2724	5.7%
30	1939	4.1%
31	1588	3.3%
Other values (15)	9249	19.5%

Value	Count	Frequency (%)
22	1070	13.9%
23	1021	13.2%
24	856	11.1%
25	713	9.2%
26	546	7.1%
27	508	6.6%
28	492	6.4%
29	414	5.4%
21	296	3.8%
30	283	3.7%
Other values (15)	1512	19.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	9	< 0.1%
21	1473	3.1%
22	5865	12.4%
23	6544	13.8%
24	5372	11.3%
25	4153	8.8%
26	3175	6.7%
27	3774	8.0%
28	3059	6.4%
29	2724	5.7%

Value	Count	Frequency (%)
20	2	< 0.1%
21	296	3.8%
22	1070	13.9%
23	1021	13.2%
24	856	11.1%
25	713	9.2%
26	546	7.1%
27	508	6.6%
28	492	6.4%
29	414	5.4%

Value	Count	Frequency (%)
20	2	< 0.1%
21	296	0.6%
22	1070	2.3%
23	1021	2.2%
24	856	1.8%
25	713	1.5%
26	546	1.2%
27	508	1.1%
28	492	1.0%
29	414	0.9%

Value	Count	Frequency (%)
20	9	0.1%
21	1473	19.1%
22	5865	76.1%
23	6544	84.9%
24	5372	69.7%
25	4153	53.9%
26	3175	41.2%
27	3774	48.9%
28	3059	39.7%
29	2724	35.3%

person_income
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	2088	834
Distinct (%)	4.4%	10.8%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	62773.553	47387.325

	Loan_status = 0	Loan_status = 1
Minimum	4200	9600
Maximum	142500	142800
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	4200	9600
5-th percentile	30000	24000
Q1	45000	32000
median	60000	44000
Q3	75949.5	59000
95-th percentile	117000	83500
Maximum	142500	142800
Range	138300	133200
Interquartile range (IQR)	30949.5	27000

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	25383.777	19769.913
Coefficient of variation (CV)	0.40437056	0.41719833
Kurtosis	0.25074541	1.6826209
Mean	62773.553	47387.325
Median Absolute Deviation (MAD)	15600	13000
Skewness	0.79914192	1.1266421
Sum	2.9781029 × 10⁹	3.6540367 × 10⁸
Variance	6.4433613 × 10⁸	3.9084947 × 10⁸
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	3862	8.1%
50000	2815	5.9%
40000	1787	3.8%
70000	1770	3.7%
75000	1610	3.4%
45000	1423	3.0%
30000	1415	3.0%
80000	1401	3.0%
65000	1391	2.9%
90000	1286	2.7%
Other values (2078)	28682	60.5%

Value	Count	Frequency (%)
30000	684	8.9%
54000	360	4.7%
44000	267	3.5%
36000	251	3.3%
34000	214	2.8%
39000	191	2.5%
24000	186	2.4%
60000	173	2.2%
42000	161	2.1%
40000	154	2.0%
Other values (824)	5070	65.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4200	1	< 0.1%
5000	1	< 0.1%
9600	7	< 0.1%
10000	1	< 0.1%
10140	1	< 0.1%
12000	13	< 0.1%
12360	1	< 0.1%
12600	1	< 0.1%
12996	1	< 0.1%
13200	3	< 0.1%

Value	Count	Frequency (%)
9600	6	0.1%
12000	20	0.3%
12500	1	< 0.1%
12996	1	< 0.1%
13000	1	< 0.1%
13200	2	< 0.1%
14000	1	< 0.1%
14400	29	0.4%
14500	1	< 0.1%
15000	17	0.2%

Value	Count	Frequency (%)
9600	6	< 0.1%
12000	20	< 0.1%
12500	1	< 0.1%
12996	1	< 0.1%
13000	1	< 0.1%
13200	2	< 0.1%
14000	1	< 0.1%
14400	29	0.1%
14500	1	< 0.1%
15000	17	< 0.1%

Value	Count	Frequency (%)
4200	1	< 0.1%
5000	1	< 0.1%
9600	7	0.1%
10000	1	< 0.1%
10140	1	< 0.1%
12000	13	0.2%
12360	1	< 0.1%
12600	1	< 0.1%
12996	1	< 0.1%
13200	3	< 0.1%

person_home_ownership
Categorical

	Loan_status = 0	Loan_status = 1
Distinct	4	4
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	417.4 KiB	68.2 KiB

RENT	22989
MORTGAGE	21503
OWN	2882
OTHER	68

RENT	6287
MORTGAGE	1370
OWN	40
OTHER	14

Length

	Loan_status = 0	Loan_status = 1
Max length	8	8
Median length	5	4
Mean length	5.7536782	4.7073013
Min length	3	3

Characters and Unicode

	Loan_status = 0	Loan_status = 1
Total characters	272966	36298
Distinct characters	10	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Loan_status = 0	Loan_status = 1
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Loan_status = 0	Loan_status = 1
1st row	RENT	RENT
2nd row	OWN	RENT
3rd row	OWN	RENT
4th row	RENT	RENT
5th row	RENT	RENT

Common Values

Value	Count	Frequency (%)
RENT	22989	48.5%
MORTGAGE	21503	45.3%
OWN	2882	6.1%
OTHER	68	0.1%

Value	Count	Frequency (%)
RENT	6287	81.5%
MORTGAGE	1370	17.8%
OWN	40	0.5%
OTHER	14	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Value	Count	Frequency (%)
rent	22989	48.5%
mortgage	21503	45.3%
own	2882	6.1%
other	68	0.1%

Value	Count	Frequency (%)
rent	6287	81.5%
mortgage	1370	17.8%
own	40	0.5%
other	14	0.2%

Most occurring characters

Value	Count	Frequency (%)
R	44560	16.3%
E	44560	16.3%
T	44560	16.3%
G	43006	15.8%
N	25871	9.5%
O	24453	9.0%
M	21503	7.9%
A	21503	7.9%
W	2882	1.1%
H	68	< 0.1%

Value	Count	Frequency (%)
R	7671	21.1%
E	7671	21.1%
T	7671	21.1%
N	6327	17.4%
G	2740	7.5%
O	1424	3.9%
M	1370	3.8%
A	1370	3.8%
W	40	0.1%
H	14	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	272966	100.0%

Value	Count	Frequency (%)
(unknown)	36298	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	44560	16.3%
E	44560	16.3%
T	44560	16.3%
G	43006	15.8%
N	25871	9.5%
O	24453	9.0%
M	21503	7.9%
A	21503	7.9%
W	2882	1.1%
H	68	< 0.1%

Value	Count	Frequency (%)
R	7671	21.1%
E	7671	21.1%
T	7671	21.1%
N	6327	17.4%
G	2740	7.5%
O	1424	3.9%
M	1370	3.8%
A	1370	3.8%
W	40	0.1%
H	14	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	272966	100.0%

Value	Count	Frequency (%)
(unknown)	36298	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	44560	16.3%
E	44560	16.3%
T	44560	16.3%
G	43006	15.8%
N	25871	9.5%
O	24453	9.0%
M	21503	7.9%
A	21503	7.9%
W	2882	1.1%
H	68	< 0.1%

Value	Count	Frequency (%)
R	7671	21.1%
E	7671	21.1%
T	7671	21.1%
N	6327	17.4%
G	2740	7.5%
O	1424	3.9%
M	1370	3.8%
A	1370	3.8%
W	40	0.1%
H	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	272966	100.0%

Value	Count	Frequency (%)
(unknown)	36298	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	44560	16.3%
E	44560	16.3%
T	44560	16.3%
G	43006	15.8%
N	25871	9.5%
O	24453	9.0%
M	21503	7.9%
A	21503	7.9%
W	2882	1.1%
H	68	< 0.1%

Value	Count	Frequency (%)
R	7671	21.1%
E	7671	21.1%
T	7671	21.1%
N	6327	17.4%
G	2740	7.5%
O	1424	3.9%
M	1370	3.8%
A	1370	3.8%
W	40	0.1%
H	14	< 0.1%

person_emp_length
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	18	18
Distinct (%)	< 0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	4.7090553	3.5751524

	Loan_status = 0	Loan_status = 1
Minimum	0	0
Maximum	17	17
Zeros	5796	1413
Zeros (%)	12.2%	18.3%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	0	0
5-th percentile	0	0
Q1	2	1
median	4	3
Q3	7	5
95-th percentile	12	10
Maximum	17	17
Range	17	17
Interquartile range (IQR)	5	4

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	3.6327217	3.325767
Coefficient of variation (CV)	0.77143323	0.93024483
Kurtosis	0.31053039	1.3596936
Mean	4.7090553	3.5751524
Median Absolute Deviation (MAD)	2	2
Skewness	0.81454258	1.1989271
Sum	223407	27568
Variance	13.196667	11.060726
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	5796	12.2%
2	5606	11.8%
3	5349	11.3%
5	4984	10.5%
4	4535	9.6%
6	4180	8.8%
1	3856	8.1%
7	3669	7.7%
8	2603	5.5%
9	1925	4.1%
Other values (8)	4939	10.4%

Value	Count	Frequency (%)
0	1413	18.3%
2	1304	16.9%
1	1024	13.3%
3	800	10.4%
4	679	8.8%
5	574	7.4%
6	531	6.9%
7	455	5.9%
8	257	3.3%
9	224	2.9%
Other values (8)	450	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5796	12.2%
1	3856	8.1%
2	5606	11.8%
3	5349	11.3%
4	4535	9.6%
5	4984	10.5%
6	4180	8.8%
7	3669	7.7%
8	2603	5.5%
9	1925	4.1%

Value	Count	Frequency (%)
0	1413	18.3%
1	1024	13.3%
2	1304	16.9%
3	800	10.4%
4	679	8.8%
5	574	7.4%
6	531	6.9%
7	455	5.9%
8	257	3.3%
9	224	2.9%

Value	Count	Frequency (%)
0	1413	3.0%
1	1024	2.2%
2	1304	2.7%
3	800	1.7%
4	679	1.4%
5	574	1.2%
6	531	1.1%
7	455	1.0%
8	257	0.5%
9	224	0.5%

Value	Count	Frequency (%)
0	5796	75.2%
1	3856	50.0%
2	5606	72.7%
3	5349	69.4%
4	4535	58.8%
5	4984	64.6%
6	4180	54.2%
7	3669	47.6%
8	2603	33.8%
9	1925	25.0%

loan_intent
Categorical

	Loan_status = 0	Loan_status = 1
Distinct	6	6
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	417.5 KiB	68.3 KiB

EDUCATION	10533
MEDICAL	8554
VENTURE	8554
PERSONAL	7976
DEBTCONSOLIDATION	7042

MEDICAL	1795
DEBTCONSOLIDATION	1628
EDUCATION	1236
PERSONAL	1205
HOMEIMPROVEMENT	1011

Length

	Loan_status = 0	Loan_status = 1
Max length	17	17
Median length	15	15
Mean length	9.9030395	10.637012
Min length	7	7

Characters and Unicode

	Loan_status = 0	Loan_status = 1
Total characters	469820	82022
Distinct characters	17	17
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Loan_status = 0	Loan_status = 1
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Loan_status = 0	Loan_status = 1
1st row	EDUCATION	PERSONAL
2nd row	MEDICAL	MEDICAL
3rd row	PERSONAL	VENTURE
4th row	VENTURE	MEDICAL
5th row	MEDICAL	EDUCATION

Common Values

Value	Count	Frequency (%)
EDUCATION	10533	22.2%
MEDICAL	8554	18.0%
VENTURE	8554	18.0%
PERSONAL	7976	16.8%
DEBTCONSOLIDATION	7042	14.8%
HOMEIMPROVEMENT	4783	10.1%

Value	Count	Frequency (%)
MEDICAL	1795	23.3%
DEBTCONSOLIDATION	1628	21.1%
EDUCATION	1236	16.0%
PERSONAL	1205	15.6%
HOMEIMPROVEMENT	1011	13.1%
VENTURE	836	10.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Value	Count	Frequency (%)
education	10533	22.2%
medical	8554	18.0%
venture	8554	18.0%
personal	7976	16.8%
debtconsolidation	7042	14.8%
homeimprovement	4783	10.1%

Value	Count	Frequency (%)
medical	1795	23.3%
debtconsolidation	1628	21.1%
education	1236	16.0%
personal	1205	15.6%
homeimprovement	1011	13.1%
venture	836	10.8%

Most occurring characters

Value	Count	Frequency (%)
E	65562	14.0%
O	49201	10.5%
N	45930	9.8%
T	37954	8.1%
I	37954	8.1%
A	34105	7.3%
D	33171	7.1%
C	26129	5.6%
L	23572	5.0%
M	22903	4.9%
Other values (7)	93339	19.9%

Value	Count	Frequency (%)
E	10569	12.9%
O	9347	11.4%
N	7544	9.2%
I	7298	8.9%
T	6339	7.7%
D	6287	7.7%
A	5864	7.1%
M	4828	5.9%
C	4659	5.7%
L	4628	5.6%
Other values (7)	14659	17.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	469820	100.0%

Value	Count	Frequency (%)
(unknown)	82022	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	65562	14.0%
O	49201	10.5%
N	45930	9.8%
T	37954	8.1%
I	37954	8.1%
A	34105	7.3%
D	33171	7.1%
C	26129	5.6%
L	23572	5.0%
M	22903	4.9%
Other values (7)	93339	19.9%

Value	Count	Frequency (%)
E	10569	12.9%
O	9347	11.4%
N	7544	9.2%
I	7298	8.9%
T	6339	7.7%
D	6287	7.7%
A	5864	7.1%
M	4828	5.9%
C	4659	5.7%
L	4628	5.6%
Other values (7)	14659	17.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	469820	100.0%

Value	Count	Frequency (%)
(unknown)	82022	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	65562	14.0%
O	49201	10.5%
N	45930	9.8%
T	37954	8.1%
I	37954	8.1%
A	34105	7.3%
D	33171	7.1%
C	26129	5.6%
L	23572	5.0%
M	22903	4.9%
Other values (7)	93339	19.9%

Value	Count	Frequency (%)
E	10569	12.9%
O	9347	11.4%
N	7544	9.2%
I	7298	8.9%
T	6339	7.7%
D	6287	7.7%
A	5864	7.1%
M	4828	5.9%
C	4659	5.7%
L	4628	5.6%
Other values (7)	14659	17.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	469820	100.0%

Value	Count	Frequency (%)
(unknown)	82022	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	65562	14.0%
O	49201	10.5%
N	45930	9.8%
T	37954	8.1%
I	37954	8.1%
A	34105	7.3%
D	33171	7.1%
C	26129	5.6%
L	23572	5.0%
M	22903	4.9%
Other values (7)	93339	19.9%

Value	Count	Frequency (%)
E	10569	12.9%
O	9347	11.4%
N	7544	9.2%
I	7298	8.9%
T	6339	7.7%
D	6287	7.7%
A	5864	7.1%
M	4828	5.9%
C	4659	5.7%
L	4628	5.6%
Other values (7)	14659	17.9%

loan_grade
Categorical

	Loan_status = 0	Loan_status = 1
Distinct	7	7
Distinct (%)	< 0.1%	0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	417.7 KiB	68.5 KiB

A	18866
B	17243
C	9054
D	1890
E	334
Other values (2)	55

D	2803
B	1890
C	1391
A	926
E	596
Other values (2)	105

Length

	Loan_status = 0	Loan_status = 1
Max length	1	1
Median length	1	1
Mean length	1	1
Min length	1	1

Characters and Unicode

	Loan_status = 0	Loan_status = 1
Total characters	47442	7711
Distinct characters	7	7
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Loan_status = 0	Loan_status = 1
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Loan_status = 0	Loan_status = 1
1st row	B	B
2nd row	C	D
3rd row	A	C
4th row	B	B
5th row	A	D

Common Values

Value	Count	Frequency (%)
A	18866	39.8%
B	17243	36.3%
C	9054	19.1%
D	1890	4.0%
E	334	0.7%
F	51	0.1%
G	4	< 0.1%

Value	Count	Frequency (%)
D	2803	36.4%
B	1890	24.5%
C	1391	18.0%
A	926	12.0%
E	596	7.7%
F	79	1.0%
G	26	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Value	Count	Frequency (%)
a	18866	39.8%
b	17243	36.3%
c	9054	19.1%
d	1890	4.0%
e	334	0.7%
f	51	0.1%
g	4	< 0.1%

Value	Count	Frequency (%)
d	2803	36.4%
b	1890	24.5%
c	1391	18.0%
a	926	12.0%
e	596	7.7%
f	79	1.0%
g	26	0.3%

Most occurring characters

Value	Count	Frequency (%)
A	18866	39.8%
B	17243	36.3%
C	9054	19.1%
D	1890	4.0%
E	334	0.7%
F	51	0.1%
G	4	< 0.1%

Value	Count	Frequency (%)
D	2803	36.4%
B	1890	24.5%
C	1391	18.0%
A	926	12.0%
E	596	7.7%
F	79	1.0%
G	26	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	18866	39.8%
B	17243	36.3%
C	9054	19.1%
D	1890	4.0%
E	334	0.7%
F	51	0.1%
G	4	< 0.1%

Value	Count	Frequency (%)
D	2803	36.4%
B	1890	24.5%
C	1391	18.0%
A	926	12.0%
E	596	7.7%
F	79	1.0%
G	26	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	18866	39.8%
B	17243	36.3%
C	9054	19.1%
D	1890	4.0%
E	334	0.7%
F	51	0.1%
G	4	< 0.1%

Value	Count	Frequency (%)
D	2803	36.4%
B	1890	24.5%
C	1391	18.0%
A	926	12.0%
E	596	7.7%
F	79	1.0%
G	26	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	18866	39.8%
B	17243	36.3%
C	9054	19.1%
D	1890	4.0%
E	334	0.7%
F	51	0.1%
G	4	< 0.1%

Value	Count	Frequency (%)
D	2803	36.4%
B	1890	24.5%
C	1391	18.0%
A	926	12.0%
E	596	7.7%
F	79	1.0%
G	26	0.3%

loan_amnt
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	480	282
Distinct (%)	1.0%	3.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	8612.6488	10727.369

	Loan_status = 0	Loan_status = 1
Minimum	500	1000
Maximum	26000	25850
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	500	1000
5-th percentile	2400	2500
Q1	5000	6000
median	7875	10000
Q3	11600	15000
95-th percentile	18400	24000
Maximum	26000	25850
Range	25500	24850
Interquartile range (IQR)	6600	9000

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	4937.5622	6001.678
Coefficient of variation (CV)	0.57329194	0.55947342
Kurtosis	0.96972318	-0.24677795
Mean	8612.6488	10727.369
Median Absolute Deviation (MAD)	2875	4500
Skewness	1.0205589	0.64441315
Sum	4.0860128 × 10⁸	82718745
Variance	24379520	36020139
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	5867	12.4%
5000	4486	9.5%
6000	4112	8.7%
12000	3550	7.5%
8000	2801	5.9%
15000	2513	5.3%
4000	2083	4.4%
3000	2013	4.2%
7000	1868	3.9%
20000	1115	2.4%
Other values (470)	17034	35.9%

Value	Count	Frequency (%)
10000	938	12.2%
15000	583	7.6%
12000	536	7.0%
5000	515	6.7%
20000	430	5.6%
6000	376	4.9%
8000	355	4.6%
25000	313	4.1%
4000	249	3.2%
3000	230	3.0%
Other values (272)	3186	41.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	1	< 0.1%
700	1	< 0.1%
900	1	< 0.1%
1000	357	0.8%
1050	2	< 0.1%
1075	1	< 0.1%
1150	1	< 0.1%
1200	150	0.3%
1225	2	< 0.1%
1250	2	< 0.1%

Value	Count	Frequency (%)
1000	37	0.5%
1200	19	0.2%
1325	3	< 0.1%
1350	1	< 0.1%
1375	3	< 0.1%
1400	4	0.1%
1450	2	< 0.1%
1500	63	0.8%
1600	14	0.2%
1675	1	< 0.1%

Value	Count	Frequency (%)
1000	37	0.1%
1200	19	< 0.1%
1325	3	< 0.1%
1350	1	< 0.1%
1375	3	< 0.1%
1400	4	< 0.1%
1450	2	< 0.1%
1500	63	0.1%
1600	14	< 0.1%
1675	1	< 0.1%

Value	Count	Frequency (%)
500	1	< 0.1%
700	1	< 0.1%
900	1	< 0.1%
1000	357	4.6%
1050	2	< 0.1%
1075	1	< 0.1%
1150	1	< 0.1%
1200	150	1.9%
1225	2	< 0.1%
1250	2	< 0.1%

loan_int_rate
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	321	297
Distinct (%)	0.7%	3.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.250251	13.248717

	Loan_status = 0	Loan_status = 1
Minimum	5.42	5.42
Maximum	22.11	23.06
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	5.42	5.42
5-th percentile	6.03	7.49
Q1	7.51	11.14
median	10.39	13.85
Q3	12.42	15.58
95-th percentile	14.74	17.27
Maximum	22.11	23.06
Range	16.69	17.64
Interquartile range (IQR)	4.91	4.44

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	2.8192797	2.9986286
Coefficient of variation (CV)	0.27504494	0.2263335
Kurtosis	-0.77064175	-0.30067457
Mean	10.250251	13.248717
Median Absolute Deviation (MAD)	2.51	2.1
Skewness	0.1921621	-0.47771865
Sum	486292.41	102160.86
Variance	7.9483381	8.9917735
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.51	1945	4.1%
10.99	1876	4.0%
7.88	1605	3.4%
7.49	1441	3.0%
13.49	1225	2.6%
11.49	1139	2.4%
7.9	1089	2.3%
5.42	1029	2.2%
6.03	998	2.1%
7.14	898	1.9%
Other values (311)	34197	72.1%

Value	Count	Frequency (%)
14.96	246	3.2%
10.99	192	2.5%
15.62	160	2.1%
11.71	139	1.8%
16.77	138	1.8%
13.49	130	1.7%
15.65	130	1.7%
15.99	121	1.6%
7.51	109	1.4%
16.29	109	1.4%
Other values (287)	6237	80.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5.42	1029	2.2%
5.43	1	< 0.1%
5.79	755	1.6%
5.99	521	1.1%
6	3	< 0.1%
6.03	998	2.1%
6.05	1	< 0.1%
6.17	332	0.7%
6.39	95	0.2%
6.42	1	< 0.1%

Value	Count	Frequency (%)
5.42	20	0.3%
5.79	17	0.2%
5.99	20	0.3%
6.03	17	0.2%
6.17	14	0.2%
6.54	45	0.6%
6.62	49	0.6%
6.76	4	0.1%
6.91	30	0.4%
6.92	13	0.2%

Value	Count	Frequency (%)
5.42	20	< 0.1%
5.79	17	< 0.1%
5.99	20	< 0.1%
6.03	17	< 0.1%
6.17	14	< 0.1%
6.54	45	0.1%
6.62	49	0.1%
6.76	4	< 0.1%
6.91	30	0.1%
6.92	13	< 0.1%

Value	Count	Frequency (%)
5.42	1029	13.3%
5.43	1	< 0.1%
5.79	755	9.8%
5.99	521	6.8%
6	3	< 0.1%
6.03	998	12.9%
6.05	1	< 0.1%
6.17	332	4.3%
6.39	95	1.2%
6.42	1	< 0.1%

loan_percent_income
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	46	44
Distinct (%)	0.1%	0.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.1457178	0.2362949

	Loan_status = 0	Loan_status = 1
Minimum	0	0.01
Maximum	0.44	0.44
Zeros	1	0
Zeros (%)	< 0.1%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	0	0.01
5-th percentile	0.04	0.06
Q1	0.09	0.14
median	0.13	0.24
Q3	0.2	0.33
95-th percentile	0.29	0.4
Maximum	0.44	0.44
Range	0.44	0.43
Interquartile range (IQR)	0.11	0.19

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	0.075989777	0.11188205
Coefficient of variation (CV)	0.52148588	0.47348483
Kurtosis	0.095865192	-1.1985311
Mean	0.1457178	0.2362949
Median Absolute Deviation (MAD)	0.05	0.09
Skewness	0.67170159	-0.074744639
Sum	6913.144	1822.07
Variance	0.0057744462	0.012517593
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
0.13	2867	6.0%
0.1	2852	6.0%
0.08	2420	5.1%
0.17	2384	5.0%
0.07	2382	5.0%
0.11	2363	5.0%
0.09	2286	4.8%
0.12	2210	4.7%
0.06	2137	4.5%
0.15	2134	4.5%
Other values (36)	23407	49.3%

Value	Count	Frequency (%)
0.33	544	7.1%
0.31	324	4.2%
0.32	300	3.9%
0.17	275	3.6%
0.34	265	3.4%
0.14	243	3.2%
0.36	239	3.1%
0.4	229	3.0%
0.19	224	2.9%
0.08	218	2.8%
Other values (34)	4850	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.01	93	0.2%
0.02	352	0.7%
0.03	926	2.0%
0.04	1414	3.0%
0.05	1820	3.8%
0.06	2137	4.5%
0.07	2382	5.0%
0.08	2420	5.1%
0.09	2286	4.8%

Value	Count	Frequency (%)
0.01	4	0.1%
0.02	20	0.3%
0.03	57	0.7%
0.04	109	1.4%
0.05	125	1.6%
0.06	168	2.2%
0.07	134	1.7%
0.08	218	2.8%
0.09	183	2.4%
0.1	215	2.8%

Value	Count	Frequency (%)
0.01	4	< 0.1%
0.02	20	< 0.1%
0.03	57	0.1%
0.04	109	0.2%
0.05	125	0.3%
0.06	168	0.4%
0.07	134	0.3%
0.08	218	0.5%
0.09	183	0.4%
0.1	215	0.5%

Value	Count	Frequency (%)
0	1	< 0.1%
0.01	93	1.2%
0.02	352	4.6%
0.03	926	12.0%
0.04	1414	18.3%
0.05	1820	23.6%
0.06	2137	27.7%
0.07	2382	30.9%
0.08	2420	31.4%
0.09	2286	29.6%

cb_person_default_on_file
Categorical

	Loan_status = 0	Loan_status = 1
Distinct	2	2
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	417.2 KiB	68.0 KiB

N	41678
Y	5764

N	5264
Y	2447

Length

	Loan_status = 0	Loan_status = 1
Max length	1	1
Median length	1	1
Mean length	1	1
Min length	1	1

Characters and Unicode

	Loan_status = 0	Loan_status = 1
Total characters	47442	7711
Distinct characters	2	2
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Loan_status = 0	Loan_status = 1
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Loan_status = 0	Loan_status = 1
1st row	N	N
2nd row	N	N
3rd row	N	Y
4th row	N	N
5th row	N	N

Common Values

Value	Count	Frequency (%)
N	41678	87.9%
Y	5764	12.1%

Value	Count	Frequency (%)
N	5264	68.3%
Y	2447	31.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Value	Count	Frequency (%)
n	41678	87.9%
y	5764	12.1%

Value	Count	Frequency (%)
n	5264	68.3%
y	2447	31.7%

Most occurring characters

Value	Count	Frequency (%)
N	41678	87.9%
Y	5764	12.1%

Value	Count	Frequency (%)
N	5264	68.3%
Y	2447	31.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	41678	87.9%
Y	5764	12.1%

Value	Count	Frequency (%)
N	5264	68.3%
Y	2447	31.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	41678	87.9%
Y	5764	12.1%

Value	Count	Frequency (%)
N	5264	68.3%
Y	2447	31.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	41678	87.9%
Y	5764	12.1%

Value	Count	Frequency (%)
N	5264	68.3%
Y	2447	31.7%

cb_person_cred_hist_length
Real number (ℝ)

	Loan_status = 0	Loan_status = 1
Distinct	16	16
Distinct (%)	< 0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	5.5060495	5.4247179

	Loan_status = 0	Loan_status = 1
Minimum	2	2
Maximum	17	17
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	741.3 KiB	120.5 KiB

Quantile statistics

	Loan_status = 0	Loan_status = 1
Minimum	2	2
5-th percentile	2	2
Q1	3	3
median	4	4
Q3	8	8
95-th percentile	13	14
Maximum	17	17
Range	15	15
Interquartile range (IQR)	5	5

Descriptive statistics

	Loan_status = 0	Loan_status = 1
Standard deviation	3.5283731	3.5753887
Coefficient of variation (CV)	0.64081753	0.6590921
Kurtosis	0.95501706	1.0397913
Mean	5.5060495	5.4247179
Median Absolute Deviation (MAD)	2	2
Skewness	1.2219611	1.284345
Sum	261218	41830
Variance	12.449416	12.783405
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
3	8934	18.8%
2	8849	18.7%
4	8810	18.6%
9	2886	6.1%
8	2838	6.0%
7	2830	6.0%
6	2803	5.9%
10	2794	5.9%
5	2774	5.8%
14	638	1.3%
Other values (6)	3286	6.9%

Value	Count	Frequency (%)
2	1528	19.8%
4	1491	19.3%
3	1485	19.3%
8	452	5.9%
9	439	5.7%
6	426	5.5%
10	418	5.4%
5	415	5.4%
7	401	5.2%
14	134	1.7%
Other values (6)	522	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	8849	18.7%
3	8934	18.8%
4	8810	18.6%
5	2774	5.8%
6	2803	5.9%
7	2830	6.0%
8	2838	6.0%
9	2886	6.1%
10	2794	5.9%
11	610	1.3%

Value	Count	Frequency (%)
2	1528	19.8%
3	1485	19.3%
4	1491	19.3%
5	415	5.4%
6	426	5.5%
7	401	5.2%
8	452	5.9%
9	439	5.7%
10	418	5.4%
11	81	1.1%

Value	Count	Frequency (%)
2	1528	3.2%
3	1485	3.1%
4	1491	3.1%
5	415	0.9%
6	426	0.9%
7	401	0.8%
8	452	1.0%
9	439	0.9%
10	418	0.9%
11	81	0.2%

Value	Count	Frequency (%)
2	8849	114.8%
3	8934	115.9%
4	8810	114.3%
5	2774	36.0%
6	2803	36.4%
7	2830	36.7%
8	2838	36.8%
9	2886	37.4%
10	2794	36.2%
11	610	7.9%

loan_status
Categorical

	Loan_status = 0	Loan_status = 1
Distinct	1	1
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	417.1 KiB	67.9 KiB

0	47442

1	7711

Length

	Loan_status = 0	Loan_status = 1
Max length	1	1
Median length	1	1
Mean length	1	1
Min length	1	1

Characters and Unicode

	Loan_status = 0	Loan_status = 1
Total characters	47442	7711
Distinct characters	1	1
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Loan_status = 0	Loan_status = 1
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Loan_status = 0	Loan_status = 1
1st row	0	1
2nd row	0	1
3rd row	0	1
4th row	0	1
5th row	0	1

Common Values

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47442	100.0%

Value	Count	Frequency (%)
(unknown)	7711	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	47442	100.0%

Value	Count	Frequency (%)
1	7711	100.0%

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 1

Loan_status = 0

Loan_status = 0

A simple visualization of nullity by column.

Loan_status = 1

A simple visualization of nullity by column.

Loan_status = 0

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Loan_status = 1

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Loan_status = 0

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length
0	37	35000	RENT	0.0	EDUCATION	B	6000	11.49	0.17	N	14
1	22	56000	OWN	6.0	MEDICAL	C	4000	13.35	0.07	N	2
2	29	28800	OWN	8.0	PERSONAL	A	6000	8.90	0.21	N	10
3	30	70000	RENT	14.0	VENTURE	B	12000	11.11	0.17	N	5
4	22	60000	RENT	2.0	MEDICAL	A	6000	6.92	0.10	N	3
5	27	45000	RENT	2.0	VENTURE	A	9000	8.94	0.20	N	5
6	25	45000	MORTGAGE	9.0	EDUCATION	A	12000	6.54	0.27	N	3
7	21	20000	RENT	0.0	PERSONAL	C	2500	13.49	0.13	Y	3
8	37	69600	RENT	11.0	EDUCATION	D	5000	14.84	0.07	Y	11
9	35	110000	MORTGAGE	0.0	DEBTCONSOLIDATION	C	15000	12.98	0.14	Y	6

Loan_status = 1

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length	loan_status
11	22	33000	RENT	6.0	PERSONAL	B	10000	11.12	0.30	N	2	1
24	22	30000	RENT	3.0	MEDICAL	D	5000	16.49	0.17	N	4	1
25	25	25000	RENT	3.0	VENTURE	C	3500	13.49	0.14	Y	3	1
38	30	54000	RENT	0.0	MEDICAL	B	12500	11.71	0.24	N	10	1
39	22	32000	RENT	6.0	EDUCATION	D	8000	15.58	0.25	N	3	1
48	29	44000	MORTGAGE	13.0	EDUCATION	B	10000	11.86	0.23	N	8	1
53	23	48000	RENT	7.0	MEDICAL	A	8000	8.90	0.17	N	4	1
55	29	34560	RENT	8.0	MEDICAL	E	10000	16.40	0.29	Y	8	1
58	24	40000	RENT	1.0	MEDICAL	B	14125	9.91	0.35	N	3	1
60	26	54000	RENT	1.0	PERSONAL	A	9600	9.32	0.18	N	4	1

Loan_status = 0

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length
58627	34	57000	MORTGAGE	6.0	PERSONAL	A	8000	7.51	0.14	N	7
58628	22	50000	RENT	2.0	PERSONAL	A	12000	8.32	0.24	N	3
58630	35	30000	RENT	6.0	MEDICAL	A	3000	6.62	0.10	N	8
58631	30	85000	MORTGAGE	6.0	PERSONAL	A	5000	7.51	0.06	N	7
58633	24	37000	RENT	3.0	EDUCATION	C	9000	13.49	0.24	Y	2
58634	24	75000	RENT	8.0	VENTURE	B	4000	10.75	0.05	N	4
58636	22	70000	RENT	6.0	DEBTCONSOLIDATION	A	10000	7.29	0.14	N	4
58637	34	120000	MORTGAGE	5.0	EDUCATION	D	25000	15.95	0.21	Y	10
58640	22	30000	RENT	2.0	EDUCATION	A	5000	8.90	0.17	N	3
58641	31	75000	MORTGAGE	2.0	VENTURE	B	15000	11.11	0.20	N	5

Loan_status = 1

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length	loan_status
58600	24	49000	RENT	6.0	DEBTCONSOLIDATION	B	20000	11.86	0.41	N	3	1
58608	21	24000	RENT	5.0	MEDICAL	C	10000	13.85	0.42	N	4	1
58621	22	36000	RENT	5.0	VENTURE	E	16000	16.45	0.44	N	4	1
58623	26	53000	RENT	10.0	PERSONAL	D	10800	16.29	0.20	N	3	1
58625	26	54000	RENT	4.0	PERSONAL	D	1600	14.96	0.03	Y	3	1
58629	23	29654	RENT	1.0	VENTURE	A	10000	6.54	0.34	N	2	1
58632	32	69000	RENT	0.0	DEBTCONSOLIDATION	B	12000	10.20	0.17	N	7	1
58635	29	46610	MORTGAGE	1.0	PERSONAL	D	2600	17.58	0.05	N	6	1
58638	28	28800	RENT	0.0	MEDICAL	C	10000	12.73	0.35	N	8	1
58639	23	44000	RENT	7.0	EDUCATION	D	6800	16.00	0.15	N	2	1

Loan_status = 0

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length	loan_status	# duplicates
Dataset does not contain duplicate rows.

Loan_status = 1

	person_age	person_income	person_home_ownership	person_emp_length	loan_intent	loan_grade	loan_amnt	loan_int_rate	loan_percent_income	cb_person_default_on_file	cb_person_cred_hist_length	loan_status	# duplicates
Dataset does not contain duplicate rows.

Overview

Variables

Common Values

Length

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Loan_status = 0

Loan_status = 1

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Loan_status = 0

Loan_status = 1